TODO for AI
vs 
Asana
By Marcell Havlik, founder of TODO for AI · Updated
Work management with assignable AI Teammates, Dash, and a no-code studio for cross-system workflows. Here is where each one wins, with numbers, and who should pick which.
| Fact | Asana | TODO for AI |
|---|---|---|
| Interface | Web, desktop, mobile | Web, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice |
| Models | Vendor managed for AI Teammates; AI Studio rules can pick OpenAI, Anthropic or Google | Claude, GPT, Gemini, Grok and other supported models |
| Source | Closed | Edge + CLI public |
| Starts at | Free | Free |
Key takeaways
- Models. Asana model choice: Vendor managed for AI Teammates; AI Studio rules can pick OpenAI, Anthropic or Google. TODO for AI includes Claude, GPT, Gemini and Grok on paid plans. Pick the model for each job; let another review the result.
- Benchmark. TODO for AI scored 91.0% on Terminal-Bench 2.1 with Opus 5.5 (high) (own harness, 81/89 tasks, 2026-10-26; not an official leaderboard submission).
- Price. Asana pricing: Personal free, Starter $10.99, Advanced $24.99 per user per month billed yearly, Enterprise custom. AI Teammates and Dash included since September 2026 with 5 AI requests per user per month; AI Studio runs on credits. TODO for AI has a free plan (Claude Sonnet only), then Starter $20, Pro $100 or Ultra $200 a month with the supported multi-vendor catalog.
- Shared business work. TODO for AI: Your whole team and its AI agents, on one board. Shared company context, brand voice and memory. AI working in your connected tools, signed-in browser and machines.
- Included usage. One shared pool of credits, with the cloud VM and browser included. Personal session and weekly limits apply. Credit usage depends on the model; see the pricing page for plan details.
- Who should pick which. Pick Asana if you need work management at scale: portfolios, goals, reporting. Pick TODO for AI if the agent needs a shell, a repo or your logged-in browser.
Asana
TODO for AI
Supported vendorsWhere our product fits
One board for the company’s work.
People decide. Agents do the work.
Your whole team and its AI agents, on one board. Shared company context, brand voice and memory. AI working in your connected tools, signed-in browser and machines.
Chase the invoice. Ship the website update. Prepare the report. Fix the code. Every task keeps its request, contributors and result together, ready for the next colleague or agent to pick up.
Keep Asana where it fits. Bring the rest of the company’s backlog here.
Plans and usage limitsWhat Asana is, and where it stops
Asana is the enterprise end of this comparison. AI Teammates are assignable in plain language, 30+ come prebuilt, and they read and write across connected apps such as Gmail, Slack, Drive and HubSpot. AI Studio builds multi-step automations with a model choice per rule, and the governance around it is the most mature here.
The perimeter is Asana and its connectors. There is no shell, no machine of your own and no session in your logged-in browser, so a portal without a connector stays out of reach. Teammates run on models Asana picks, and AI requests are capped at five per user per month before per-request billing starts.
Operations teams who want repeatable intake and routing automated inside Asana.
Three reasons Asana users look elsewhere
AI Teammates reach Asana and the apps it connects to. A vendor portal, an ad account or a CRM without a connector needs your logged-in browser, which Asana cannot use.
Paid plans include 5 AI requests per user per month, capped at 50 per account. Beyond that it is $0.50 to $0.60 per request.
No shell on your laptop, no cloud VM, no logged-in browser session. Anything that needs a command line goes back to a person.
Six dimensions that decide it
Asana 16/30TODO for AI 28/30How does Asana compare to TODO for AI, feature by feature?
| Feature | Asana | TODO for AI |
|---|---|---|
Persistent cloud VM A hosted workspace with persistent files, separate from the machines you connect. | No | Yes |
Model choice | Vendor managed; per rule in AI Studio | Supported models across vendors |
Cross-vendor review Review GPT output with Claude, or the other way around. | No | Yes |
Drives your real browser Browser extension (Chrome, Firefox) plus cloud browsers. | No | Yes |
Business tasks, not only code SEO, email, ads, social, CRM via CLI tools. | Asana + connected apps | Yes |
Any CLI as an integration | Connectors + MCP | Any binary |
Voice control | No | Yes |
People and agents on one board Colleagues and agents work the same list. Items show who contributed and which agent ran them; filter the board by person. | Yes, AI Teammates on projects | Yes |
Many agents, each configured Each agent gets its own model, prompt, tools and permissions. Runs remain subject to usage limits. | 30+ prebuilt teammates + custom | Configured per task |
Projects for the whole company Engineering, marketing, ops, finance: separate projects and agents, one team and one bill. | Projects and portfolios | Unlimited, shared |
Team roles and usage Pooling is not exclusive to TODO for AI. A shared budget does not remove personal session or weekly limits. | Per seat + AI requests | Shared credits, per-seat limits |
Tool permissions | Enterprise roles | Allow, approve, block |
Open runtime | No | Edge + CLI public |
Same ladder, different meter
Seats plus AI requests: 5 per user per month, capped at 50 per account, then $0.50 to $0.60 per request. AI Studio gets 50K to 200K credits per account.
One shared pool of credits, with the cloud VM and browser included. Personal session and weekly limits apply. Credit usage depends on the model; see the pricing page for plan details.